Abstract
Data-driven software systems have been increasingly adopted to solve problems in diverse application domains, including medicine and the automotive sector. Implementing machine learning (ML) techniques, such systems have brought considerable challenges to software engineering (SE) to ensure qualities such as reliability. In particular, it is a challenge how to address the requirements of …